Robust Chemical Synthesis of “Difficult Peptides” via 2‑Hydroxyphenol-pseudoproline (ψ^{2‑hydroxyphenol}pro) Modifications

The challenging preparation of “difficult peptides” has always hindered the development of peptide-active pharmaceutical ingredients. Pseudoproline (ψpro) building blocks have been proven effective and powerful tools for the synthesis of “difficult peptides”. In this paper, we efficiently prepared a set of novel 2-(oxazolidin-2-yl)­phenol compounds as proline surrogates (2-hydroxyphenol-pseudoprolines, ψ2‑hydroxyphenolpro) and applied it in the synthesis of many well-known “difficult peptides”, including human thymosin α1, amylin, and β-amyloid (1–42) (Aβ42)

Part II: First evidence for tooth–tooth occlusion in a ctenochasmatid pterosaur from the Early Cretaceous Jehol Biota

3D reconstruction of specimen SDUST-V1007, a partial mandible of Forfexopterus</i

Part I: First evidence for tooth–tooth occlusion in a ctenochasmatid pterosaur from the Early Cretaceous Jehol Biota

3D reconstruction of specimen SDUST-V1007, a partial mandible of Forfexopterus</i

Case 1 data.

Civil aviation transport is an important source of global respiratory disease spread due to the closely-spaced environment. In order to reduce the probability of infection of passengers, an improved Wells-Riley model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered. The model’s effectiveness has been verified with published data. Finally, how the load factor and use of an empty seat scheme are associated with the number of infected people was assessed. The results demonstrated that the number of infected people positively correlates with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. Additionally, infection risk was found to be lower among passengers in window seats than in those in aisle seats and middle seats, and keeping empty seats in the middle or aisle could reduce the cabin average probability of infection by up to 37.47%. Using the model developed here, airlines can determine the optimal load factor threshold and seating arrangement strategy to improve economic benefits and reduce the probability of passenger infection.</div

The relationship between the initial number of infected passengers and the passenger load factor.

The relationship between the initial number of infected passengers and the passenger load factor.</p

The relationship between load factor and the medium–high risk infection probability.

The relationship between load factor and the medium–high risk infection probability.</p

Model parameters in Case 2.

Civil aviation transport is an important source of global respiratory disease spread due to the closely-spaced environment. In order to reduce the probability of infection of passengers, an improved Wells-Riley model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered. The model’s effectiveness has been verified with published data. Finally, how the load factor and use of an empty seat scheme are associated with the number of infected people was assessed. The results demonstrated that the number of infected people positively correlates with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. Additionally, infection risk was found to be lower among passengers in window seats than in those in aisle seats and middle seats, and keeping empty seats in the middle or aisle could reduce the cabin average probability of infection by up to 37.47%. Using the model developed here, airlines can determine the optimal load factor threshold and seating arrangement strategy to improve economic benefits and reduce the probability of passenger infection.</div

The relationship between the number of passengers at medium–high risk for infection and the passenger occupancy rates under different q values.

The relationship between the number of passengers at medium–high risk for infection and the passenger occupancy rates under different q values.</p

Walking route of infected individual α.

Civil aviation transport is an important source of global respiratory disease spread due to the closely-spaced environment. In order to reduce the probability of infection of passengers, an improved Wells-Riley model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered. The model’s effectiveness has been verified with published data. Finally, how the load factor and use of an empty seat scheme are associated with the number of infected people was assessed. The results demonstrated that the number of infected people positively correlates with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. Additionally, infection risk was found to be lower among passengers in window seats than in those in aisle seats and middle seats, and keeping empty seats in the middle or aisle could reduce the cabin average probability of infection by up to 37.47%. Using the model developed here, airlines can determine the optimal load factor threshold and seating arrangement strategy to improve economic benefits and reduce the probability of passenger infection.</div

Case 2 data.

Civil aviation transport is an important source of global respiratory disease spread due to the closely-spaced environment. In order to reduce the probability of infection of passengers, an improved Wells-Riley model for cabin passenger risk assessment have been given in this work, the cabin ventilation and passenger nose and mouth orientation were considered. The model’s effectiveness has been verified with published data. Finally, how the load factor and use of an empty seat scheme are associated with the number of infected people was assessed. The results demonstrated that the number of infected people positively correlates with the passenger load factor, and the most suitable load factor can be determined by controlling the final number of infected people with the condition of the epidemic situation in the departure city. Additionally, infection risk was found to be lower among passengers in window seats than in those in aisle seats and middle seats, and keeping empty seats in the middle or aisle could reduce the cabin average probability of infection by up to 37.47%. Using the model developed here, airlines can determine the optimal load factor threshold and seating arrangement strategy to improve economic benefits and reduce the probability of passenger infection.</div